Introduction
Depression is a commonly overwhelming problem among patients with epilepsy which compromises their quality of life especially in developing countries. Previously limited studies were conducted using Becks Depression Inventory tool in Ethiopia. The aim of this study’s objective was to determine the prevalence of depression and associated factors among patients with epilepsy.
Methods
Institution based cross-sectional study was employed at the University of Gondar Comprehensive Specialized Hospital from March 01–30, 2019.A total of 370 participants were selected using an interview administered structured questionnaire. Hospital Anxiety and Depression Scale was used to assess the prevalence of depression.Multivariable logistic regression analysis was done to investigate potential predictors and variables with a P-value of < 0.05 and a 95% confidence interval were considered statistically significant.
Results
A total of 370 study participants participated with a response rate of 92%. From the total respondents 37% experienced depression. Perceived stigma (AOR = 3.89, CI: 2.27, 6.68), educational status (AOR = 0.48, CI: 0.25, 0.92), residence (AOR = 0.5, CI: 0.28, 0.89), frequency of seizure (AOR = 2.07, CI: 1.01, 4.23) and social support (AOR = 2.73, CI: 1.41–5.31) were significantly associated with depression status.
Conclusion
This study revealed that prevalence of depression among Epileptic patients was high. Perceived stigma, educational status, residence, frequency of seizure and social support were significantly associated with depression status. Thus, health care workers better to give more emphasis to patients with perceived stigma, higher number of seizure frequency and to those with poor level of social support.
Background and Aim
Understanding potential demand and willingness to pay for the insecticide treated nets is important for sustainable insecticide-treated bed net intervention. However, there is limited evidence, and there is no study in this malarious area, so the study aimed to assess willingness to pay for insecticide-treated bed net and influencing factors.
Methods
A multi-stage community-based cross-sectional study was conducted by using an interview administered questionnaire with a total sample size of 711H.H from March 01 to 30, 2020. The data were entered into EPI data version 4.6.0 and exported to STATA SE version 14 for further analysis. The mean price of willingness to pay was presented as mean and median. Bivariable and multivariable Tobit economical model was used to identify factors associated with willingness to pay. Regression coefficient (ß), 95% CI, t-value and p-value were used to measure the strength and presence of a statistical association.
Results
A total of 683 study participants with a response rate of 96.1% were included in the study. Sixty-four percent of respondents were willing to pay for three types of an insecticide-treated bed net, and the mean price for blue rectangular medium size ITN was 46 (±12.9) birr, for white circular medium size ITN was 44 (±12.3) birr and for blue circular medium size ITN was 43 (±11.8) birr. The factors influencing willingness to pay were sex, educational status, wealth status and knowledge toward malaria and ITN.
Conclusion
This study revealed that in the Bugina district majority of the households were willing to pay for the three types of ITN with a mean price of 55.6 ETB. Sex, educational status, knowledge and wealth index are factors affecting willingness to pay for ITN; further awareness needs to be created regarding the severity of malaria and the demand of ITN.
Background: The world drug problem continues to constitute a serious threat to public health and to the safety and well-being of humanity. It is also one of burning public health problem in Ethiopia. There is research evidence that showed increment of trend of substance abuse among high school and college students.
BackgroundEarly neonatal death accounts for a significant number of under-5 mortality worldwide. However, the problem is under-researched and under-reported in low-income and middle-income countries, particularly in Ethiopia. The magnitude of mortality during the early neonatal period and associated factors should be studied for designing appropriate policies, and strategies that could help tackle the problem. Hence, this study aimed to determine the prevalence and identify factors associated with early neonatal mortality in Ethiopia.MethodsThis study was conducted by using data from Ethiopian Demographic and Health Survey 2016. A total of 10 525 live births were enrolled in the study. A multilevel logistic regression model was used to identify determinants of early neonatal mortality. Adjusted OR (AOR) at a 95% CI was computed to assess the strength and significance of the association between outcome and explanatory variables. Factors with a p<0.05 were declared statistically significant.ResultsThe national prevalence of early neonatal mortality in Ethiopia was 41.8 (95% CI 38.1 to 45.8) early neonatal deaths per 1000 live births. The extreme ages of pregnancy (under 20 years (AOR 2.7, 95% CI 1.3 to 5.5) and above 35 years (AOR 2.4, 95% CI 1.5 to 4)), home delivery (AOR 2.4, 95% CI 1.3 to 4.3), low birth weight (AOR 3.3, 95% CI 1.4 to 8.2) and multiple pregnancies (AOR 5.3, 95% CI 4.1 to 9.9) were significantly associated early neonatal mortality.ConclusionsThis study revealed a higher prevalence of early neonatal mortality as compared with prevalence in other low-income and middle-income countries. Thus, it is determined to be essential to design maternal and child health policies and initiatives with a priority on the prevention of early neonatal deaths. Emphasis should be given to babies born to mothers at extreme ages of pregnancy, to those born of multiple pregnancies delivered at home and to low birthweight babies.
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